Conducted data analysis to identify patterns and trends in fraudulent activities.Maintain accurate data to prevent discrepancies that could signal fraud.Utilized data visualization tools to create reports, presenting insights to stakeholders for strategic decisionmaking.Collaborated with cross-functional teams to extract, transform, and analyze large datasets for fraud investigation.Improved onboarding processes by analyzing data to optimize workflows and reduce false positive rates in frauddetection.Enhancing the efficiency of detection strategies.Work with other departments to investigate flagged cases and provide actionable reports

Data Collection and Cleaning: Gather, clean, and transform data from multiple sources for accuracy and consistency.Data Analysis and Reporting: Analyze data on sales trends, customer preferences, and production efficiency using Excel, SQL, Python, or R.Visualization and Dashboard Creation: Develop dashboards and visualizations with Tableau or Power BI to present key metrics and insights.Market and Competitor Analysis: Analyze market trends and competitor data to support strategic decisions.Cross-Departmental Collaboration: Partner with sales, marketing, and production teams to align insights with business goals.Automation and Efficiency: Create scripts and workflows to automate analysis tasks, boosting efficiency.Insights and Recommendations: Provide actionable recommendations for demand optimization, stock management, and targeted marketing strategies.